{"id":"https://openalex.org/W4362679533","doi":"https://doi.org/10.48550/arxiv.2304.02434","title":"Both Efficiency and Effectiveness! A Large Scale Pre-ranking Framework in Search System","display_name":"Both Efficiency and Effectiveness! A Large Scale Pre-ranking Framework in Search System","publication_year":2023,"publication_date":"2023-04-05","ids":{"openalex":"https://openalex.org/W4362679533","doi":"https://doi.org/10.48550/arxiv.2304.02434"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2304.02434","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.02434","pdf_url":"https://arxiv.org/pdf/2304.02434","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2304.02434","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055884721","display_name":"Qihang Zhao","orcid":"https://orcid.org/0000-0002-8431-5389","observed_orcids":["https://orcid.org/0000-0002-8431-5389"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Qihang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069001150","display_name":"Rui-jie Zhu","orcid":"https://orcid.org/0000-0003-4864-8474","observed_orcids":["https://orcid.org/0000-0003-4864-8474"]},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Rui-jie","raw_affiliation_strings":["Kuaishou , Beijing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou , Beijing , China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325590","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0003-1859-6300","observed_orcids":["https://orcid.org/0000-0003-1859-6300"]},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Liu","raw_affiliation_strings":["Kuaishou , Beijing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou , Beijing , China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104111331","display_name":"He Yongming","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Yongming, He","raw_affiliation_strings":["Kuaishou , Beijing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou , Beijing , China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335410","display_name":"Bo Zhou","orcid":"https://orcid.org/0009-0000-5724-0951","observed_orcids":["https://orcid.org/0009-0000-5724-0951"]},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Bo","raw_affiliation_strings":["Kuaishou , Beijing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou , Beijing , China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100537229","display_name":"Cheng Luo","orcid":"https://orcid.org/0009-0003-2405-1662","observed_orcids":["https://orcid.org/0009-0003-2405-1662"]},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]},{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng, Luo","raw_affiliation_strings":["Kuaishou , Beijing , China","University of California , Santa Cruz California , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou , Beijing , China","institution_ids":["https://openalex.org/I4401726859"]},{"raw_affiliation_string":"University of California , Santa Cruz California , USA","institution_ids":["https://openalex.org/I185103710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/search-systems","display_name":"search systems","score":0.5870000123977661},{"id":"https://openalex.org/keywords/deepfm","display_name":"DeepFM","score":0.9869999885559082},{"id":"https://openalex.org/keywords/video-retrieval","display_name":"video retrieval","score":0.6399999856948853},{"id":"https://openalex.org/keywords/tree-based-models","display_name":"tree-based models","score":0.4490000009536743}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.787855863571167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804372310638428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5414088368415833},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5249046087265015},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5053856372833252},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5019183158874512},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.4529208540916443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4436006546020508},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4229423999786377},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4171481132507324},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40107667446136475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07891198992729187},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2304.02434","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.02434","pdf_url":"https://arxiv.org/pdf/2304.02434","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2304.02434","doi":"https://doi.org/10.48550/arxiv.2304.02434","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2304.02434","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2304.02434","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.02434","pdf_url":"https://arxiv.org/pdf/2304.02434","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362679533.pdf","grobid_xml":"https://content.openalex.org/works/W4362679533.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2011472225","https://openalex.org/W3000057026","https://openalex.org/W2315491162","https://openalex.org/W3048565508","https://openalex.org/W3163984363","https://openalex.org/W2562198007","https://openalex.org/W2368840343","https://openalex.org/W2010725720","https://openalex.org/W4310066305","https://openalex.org/W2370100764"],"abstract_inverted_index":{"In":[0],"the":[1,29,33,45,51,64,73,76,96,106,140,144,161],"realm":[2],"of":[3,15,75,108,115,164,173],"search":[4,77,162],"systems,":[5],"multi-stage":[6],"cascade":[7],"architecture":[8,49,59],"is":[9,25,50],"a":[10,38,70,85,100,111,133,152,165],"prevalent":[11],"method,":[12],"typically":[13],"consisting":[14],"sequential":[16],"modules":[17],"such":[18],"as":[19,95],"matching,":[20],"pre-ranking,":[21],"and":[22,42,66,98,125,142],"ranking.":[23],"It":[24],"generally":[26],"acknowledged":[27],"that":[28],"model":[30,141],"used":[31],"in":[32,69,72,123,160],"pre-ranking":[34,87],"stage":[35],"must":[36],"strike":[37],"balance":[39],"between":[40,63],"efficacy":[41],"efficiency.":[43],"Thus,":[44],"most":[46],"commonly":[47],"employed":[48],"representation-focused":[52],"vector":[53],"product":[54],"based":[55],"model.":[56,154],"However,":[57],"this":[58,81],"lacks":[60],"effective":[61],"interaction":[62],"query":[65],"document,":[67],"resulting":[68],"reduction":[71],"effectiveness":[74],"system.":[78],"To":[79],"address":[80],"issue,":[82],"we":[83,131],"present":[84],"novel":[86],"framework":[88,92],"called":[89],"RankDFM.":[90],"Our":[91],"leverages":[93],"DeepFM":[94],"backbone":[97],"employs":[99],"pairwise":[101],"training":[102],"paradigm":[103],"to":[104,117,138,151,171],"learn":[105],"ranking":[107],"videos":[109],"under":[110],"query.":[112],"The":[113],"capability":[114],"RankDFM":[116,156],"cross":[118],"features":[119],"provides":[120],"significant":[121],"improvement":[122],"offline":[124],"online":[126,148],"A/B":[127],"testing":[128],"performance.":[129],"Furthermore,":[130],"introduce":[132],"learnable":[134],"feature":[135],"selection":[136],"scheme":[137],"optimize":[139],"reduce":[143],"time":[145],"required":[146],"for":[147],"inference,":[149],"equivalent":[150],"tree":[153],"Currently,":[155],"has":[157],"been":[158],"deployed":[159],"system":[163],"shortvideo":[166],"App,":[167],"providing":[168],"daily":[169],"services":[170],"hundreds":[172],"millions":[174],"users.":[175]},"counts_by_year":[],"updated_date":"2026-09-30T09:27:27.532063","created_date":"2025-10-10T00:00:00"}
